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Python Sql Jobs in Ohio (NOW HIRING)

LeadStack Inc.

Data Engineer Level 2

Sharonville, OH

$55 - $70/hr

Analyze, design, and develop Azure-based data products, pipelines, and architecture using Databricks, Spark, PySpark, Python, and SQL. * Optimize Spark/PySpark pipelines for performance (e.g., data ...

SUNRAY INFORMATICS

Sr. Databricks Developer

Columbus, OH

$51 - $67.25/hr

SQL, Python, AWS & PYSPARK Need Candidates with a Minimum of 9 Years of Experience. This is a 100% Onsite role, and we need candidates on our W2 or who have their Own Corporation. We are seeking an ...

S Linx LLC

QA Data Test Lead

Cincinnati, OH · On-site

Proficiency in test automation for data validation using Python, SQL, or similar tools. * Experience with data platforms and tools such as: * Snowflake,Azure Data Factory (ADF), Databricks, IDMC

Aivra Health LLC

$80K - $105K/yr

Write clean, efficient, and maintainable code * Assist in database design and SQL query ... Python * OOP * Data Structures * Algorithms * Scripting & Automation Python Frameworks * Django

Aivra Health LLC

$80K - $105K/yr

Write clean, efficient, and maintainable code * Assist in database design and SQL query ... Python * OOP * Data Structures * Algorithms * Scripting & Automation Python Frameworks * Django

Astra North Infoteck Inc.

Strong Python, SQL, Spark/PySpark, and data pipeline engineering experience. ? Strong hands-on experience with AWS data services and cloud-based data platforms. ? Ability to support Tableau ...

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How much do python sql jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python sql in Ohio is $55.73, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $63.32 per hour, depending on experience, location, and employer.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

Does SQL work well with Python?

Python is widely used for working with SQL databases, with libraries like sqlite3, SQLAlchemy, and pandas enabling seamless integration. These tools allow Python scripts to execute queries, manage data, and automate database operations efficiently, making SQL and Python a common combination for data analysis and backend development.

What jobs can I do with Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, backend developer, and business intelligence analyst. These roles involve data manipulation, database management, automation, and developing data-driven applications, often requiring knowledge of related tools like pandas, SQL queries, and data visualization software.

What is a Python SQL job?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are the key skills and qualifications needed to thrive in the Python Sql position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential, but employers often seek additional skills such as data analysis, problem-solving, and familiarity with frameworks or tools like pandas or Django. Certifications and practical experience can also improve job prospects, as many positions require a combination of technical knowledge and real-world application.

What is the salary of SQL and Python?

Salaries for roles involving SQL and Python vary based on experience, location, and industry, but typically range from $70,000 to $120,000 annually for mid-level positions. Entry-level roles may start around $60,000, while experienced developers or data scientists can earn over $130,000. Skills in data analysis, database management, and programming are highly valued in these roles.
What are the most commonly searched types of Python Sql jobs in Ohio? The most popular types of Python Sql jobs in Ohio are:
What are popular job titles related to Python Sql jobs in Ohio? For Python Sql jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Python Sql jobs in Ohio look for? The top searched job categories for Python Sql jobs in Ohio are:
Python Sql jobs near you
Infographic showing various Python Sql job openings in Ohio as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $115,921 per year, or $55.7 per hour.
Data Engineer Level 2

Data Engineer Level 2

LeadStack Inc.

Sharonville, OH

$55 - $70/hr

Other

Posted 29 days ago

Job description

Job Description
LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.
Data Engineer Level 2
Location: Blue Ash, OH 45241
Duration: 6 months (Contractor)
Pay Rate: $55-$70/hr (W2)
Overview
Join our team to build modern data solutions in Azure! We're seeking a skilled Data Engineer with hands-on expertise in Databricks, Spark, Python, and cloud DataOps. You'll design scalable data pipelines, automate infrastructure with Terraform/GitHub Actions, and treat data as an enterprise asset-collaborating on CI/CD, governance, and optimization for reliable, secure analytics.
Key Responsibilities
  • Analyze, design, and develop Azure-based data products, pipelines, and architecture using Databricks, Spark, PySpark, Python, and SQL.
  • Optimize Spark/PySpark pipelines for performance (e.g., data skew, partitioning, caching, shuffles).
  • Build and maintain Delta Lake tables/models for analytical/operational use cases, including Delta Live Tables (DLT) or Databricks SQL.
  • Provision cloud/Databricks resources via Terraform (IaC) and manage GitHub-based CI/CD workflows with GitHub Actions.
  • Implement Git workflows for notebooks/jobs; troubleshoot clusters, jobs, and pipelines for reliability.
  • Collaborate on data governance (e.g., Purview, Unity Catalog), lineage, cataloging, and enterprise standards.
  • Deploy Azure fixes/upgrades; mentor on best practices; create diagrams/specs; support stakeholders and data strategy.
Requirements
  • 5+ years as Data Engineer.
  • Strong hands-on with Azure Databricks, Spark/PySpark, Python, SQL, and databases.
  • Experience with Delta Live Tables (DLT), Databricks SQL, Azure Functions, messaging/orchestration tools.
  • Proficiency in Terraform (IaC), GitHub/GitHub Actions (CI/CD, version control).
  • Azure cloud data services integration; monitoring/optimizing Databricks clusters/workflows.
  • Knowledge of distributed computing (partitions, joins, shuffles); data governance tools (Purview, Unity Catalog).
  • SDLC familiarity; ability to manage priorities independently.

know more about current opportunities at LeadStack , please visit us on https://leadstackinc.com/careers/
Should you have any questions, feel free to call me on (513) 3184502 or send an email on waseem.ahmad@leadstackinc.com

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